electricsheepafrica/africa-morocco-comptes-exterieurs-7986d6d4

Comptes Exterieurs | Africa (Morocco Open Data)

16 rows - 1 Africa country/area - time not specified - source table - Engineered by Electric Sheep Africa

TL;DR

This dataset contains 16 rows from Morocco Open Data, covering Comptes Exterieurs. It is published as ML-ready Parquet with consistent Hugging Face metadata, source provenance, and analysis-friendly loading examples.

What This Dataset Measures

Economic datasets help analysts examine production, prices, public finance, trade flows, market conditions, and macroeconomic change.

Source-provided context: Comptes extérieurs (2005-2013)

How To Read This Dataset

• One row means: one source record from the original tabular resource, with Electric Sheep Africa provenance columns added where available.
• Primary geography column: country_iso3.
• Best time column: not detected.
• Time coverage basis: not detected.
• Recommended join keys: country_iso3 where available plus source-specific keys.

Coverage

Dimension	Value
Rows	16
Countries/areas	1
First period	n/a
Last period	n/a
Indicators	0
Columns	23
Source format	XLS

Geographic Coverage

Top areas shown below, sorted by row count when available:

Area	Rows	First year	Last year	Name
MAR	16	n/a	n/a	Morocco

Indicators, Variables, Or Resource Contents

• This repo preserves one source tabular resource with its usable columns kept together.

Schema

Column	Type	Description	Example
source_record_id	string	Stable row identifier assigned during Electric Sheep Africa engineering.	c1c4bfb9-ce79-4807-af02-f21af784169f:feuil1:0
country_iso3	string	ISO3 country or area code.	MAR
country_name	string	Country or area name.	Morocco
source_sheet	string	Source column from the original resource.	Feuil1
tourisme	string	Source column from the original resource.	Variation
d_40967	double	Source column from the original resource.	0.1774325664276372
d_52485_8	double	Source column from the original resource.	0.2811726511582493
d_58673_9	double	Source column from the original resource.	0.1179004606960358
d_55551	double	Source column from the original resource.	-0.0532246876379446
d_52834	double	Source column from the original resource.	-0.0489100106208708
d_56421_5	double	Source column from the original resource.	0.0679013514025059
d_58904	double	Source column from the original resource.	0.043999184707957
d_57834_5	double	Source column from the original resource.	-0.0181566616868124
d_57579_1	double	Source column from the original resource.	-0.0044160492439634
cff1_ad68_ad89	string	Source column from the original resource.	/cff1~AG68.AG89~
source_provider	string	Publishing organization.	Ministère de l'Economie et des Finances
source_dataset	string	Source dataset or package title.	Comptes extérieurs
source_resource	string	Source resource title, table name, or file name.	Comptes extérieurs 2013
source_package_id	string	Source package identifier.	c5a3101d-d4d2-45f9-bf66-12af54e1f51a
source_resource_id	string	Source resource identifier.	c1c4bfb9-ce79-4807-af02-f21af784169f
source_url	string	Original source URL or download URL.	http://datagovma.webhi.net/data/fr/dataset/c5a3101d-d4d2-45f9-bf66-12...
license_id	string	Source license identifier.	odc-odbl
retrieved_at	string	UTC source retrieval timestamp from the Electric Sheep Africa pipeline.	2026-07-16T22:26:50Z

Usage

from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-morocco-comptes-exterieurs-7986d6d4")
df = ds["train"].to_pandas()
print(df.head())

Inspect Columns

print(df.info())
print(df.head())

Filter By Geography

if "country_iso3" in df.columns:
    sample = df[df["country_iso3"] == "MAR"]

Time-Series Pattern

if "value" in df.columns and "year" in df.columns:
    trend = df.sort_values("year")

Pivot For Analysis

if {"indicator_id", "year", "value"}.issubset(df.columns):
    matrix = df.pivot_table(index="year", columns="indicator_id", values="value")
    print(matrix.tail())

Data Quality Notes

• No canonical year/date column was detected in the packaged table; use source metadata and domain context for temporal interpretation.
• Missing values are preserved rather than silently imputed.
• Column names are standardized for machine use; source meanings are preserved where known.
• Always confirm source methodology, units, and collection definitions before policy, production, or redistribution-sensitive use.

Source And Provenance

• Source: Morocco Open Data
• Publisher: Ministère de l'Economie et des Finances
• Portal: https://data.gov.ma/data
• Resource: Comptes extérieurs 2013
• License: Open Data Commons Open Database License
• Retrieved/generated: 2026-07-16T22:28:21Z
• Hugging Face repo: electricsheepafrica/africa-morocco-comptes-exterieurs-7986d6d4

Transformations Applied

• Converted the source table to Parquet for efficient analytics and ML workflows.
• Added or preserved source provenance columns where available.
• Standardized README metadata, dataset loading configuration, schema documentation, and citation format.
• Preserved source-reported values without analytical imputation.

Suggested Analyses

• Build time-series dashboards
• Compare economic indicators
• Join with population or sector data
• Check missingness before modeling
• Use country_iso3 as the safest geography join key when present

Citation

@misc{electric_sheep_africa_africa_morocco_comptes_exterieurs_7986d6d4_2026,
  title        = {Comptes Exterieurs | Africa (Morocco Open Data)},
  author       = {Ministère de l'Economie et des Finances},
  year         = {2026},
  url          = {https://data.gov.ma/data/dataset/comptes-exterieurs},
  publisher    = {Hugging Face Datasets, engineered by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-morocco-comptes-exterieurs-7986d6d4}}
}

License

Released under Open Data Commons Open Database License.

Original data is published by Ministère de l'Economie et des Finances. Electric Sheep Africa engineering standardizes the data for discovery, loading, and analysis on Hugging Face. Cite both the original source and this ML-ready dataset when used.

About Electric Sheep Africa

Electric Sheep Africa publishes ML-ready African public datasets on Hugging Face.

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Provenance: README standardized 2026-08-11 by the Electric Sheep Africa README system. Source URL: https://data.gov.ma/data/dataset/comptes-exterieurs